Built by researchers, for research.

“Part of our “secret sauce” at Xanadu is that we're developers and power users of PennyLane. The process isn't easy, but the results are powerful: we've built a tool that accelerates our quantum algorithms research through rapid prototyping, fast simulation, and flexible resource estimation.”

“PennyLane is great for rapid QML prototyping and learning—its notebooks on recent papers are especially helpful. Even when running on hardware, which sometimes needs code adaptation, its flexibility and active support make it our go-to platform for research.”

“PennyLane is central to our quantum computing research. We value the stable user interface and automatic differentiation, in combination with the unmatched flexibility of defining custom operations and interface our own simulators, while also having the option of running on real quantum hardware.”

“PennyLane is our go-to framework for developing and testing quantum algorithms. I also use it in my undergrad quantum computing class. A major reason is the availability of good documentation. The example usage for library functions, demos, and how-to guides are useful for both me and the students.”

“It is an exhilarating experience to spend months in deep technical theory on quantum machine learning algorithms, only to realise that we can probe some of our ideas already using PennyLane. Seeing the numbers confirm our intuition—or, even better, contradict it—always feels a little like magic.”

“Part of our “secret sauce” at Xanadu is that we're developers and power users of PennyLane. The process isn't easy, but the results are powerful: we've built a tool that accelerates our quantum algorithms research through rapid prototyping, fast simulation, and flexible resource estimation.”